Why is there so much hype around artificial intelligence?

Comments

• Carrolade@lemmy.world ⁨2⁩ ⁨months⁩ ago

  I’ll just toss in another answer nobody has mentioned yet:

  Terminator and Matrix movies were really, really popular. This sort of seeded the idea of it being a sort of inevitable future into the brains of the mainstream population.

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  • Kintarian@lemmy.world ⁨2⁩ ⁨months⁩ ago

    The Matrix was a documentary

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• ProfessorScience@lemmy.world ⁨2⁩ ⁨months⁩ ago

  When ChatGPT first started to make waves, it was a significant step forward in the ability for AIs to sound like a person. There were new techniques being used to train language models, and it was unclear what the upper limits of these techniques were in terms of how “smart” of an AI they could produce. It may seem overly optimistic in retrospect, but at the time it was not that crazy to wonder whether the tools were on a direct path toward general AI. And so a lot of projects started up, both to leverage the tools as they actually were, and to leverage the speculated potential of what the tools might soon become.

  Now we’ve gotten a better sense of what the limitations of these tools actually are. What the upper limits of where these techniques might lead are. But a lot of momentum remains. Projects that started up when the limits were unknown don’t just have the plug pulled the minute it seems like expectations aren’t matching reality. I mean, maybe some do. But most of the projects try to make the best of the tools as they are to keep the promises they made, for better or worse. And of course new ideas keep coming and new entrepreneurs want a piece of the pie.

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• LarmyOfLone@lemm.ee ⁨2⁩ ⁨months⁩ ago

  Look at all the comments on this post. We’re not quite there but imagine half of the comments written by Chat GPT and it’s only going to get better.

  Does it matter than 50% of them get it wrong?

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  • OpenStars@discuss.online ⁨2⁩ ⁨months⁩ ago

    To advertisers? No.

    To the platform designers? Also no.

    To idiot users? Still no.

    To non-idiot users? Surprisingly no (bc we already left and are here now:-).

    To people wanting Reddit to go the distance and boost their stock values, yes. But only in the long-term, which never exists, and in the short-term, no.

    Hence, enshittification, delivered in a confident tone.

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• aesthelete@lemmy.world ⁨2⁩ ⁨months⁩ ago

  Tech company management loves the idea of ridding themselves of programmers and other knowledge workers, and AI companies love selling the idea of non-productivity impacting layoffs to unsavvy companies (tech and otherwise).

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• Alice@hilariouschaos.com ⁨2⁩ ⁨months⁩ ago

  Cause it’s cool

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  • Kintarian@lemmy.world ⁨2⁩ ⁨months⁩ ago

    Not to me. If you like it, that’s fine.

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    • ContrarianTrail@lemm.ee ⁨2⁩ ⁨months⁩ ago

      Perhaps your personal bias is cluding your judgement a bit here. You don’t seem very open minded about it. You’ve already made up your mind.

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• muntedcrocodile@lemm.ee ⁨2⁩ ⁨months⁩ ago

  It depends on the task you give it and the instructions you provide. I wrote this a while back i find it gives a 10x in capability especially if u use a non aligned llm like dolphin 8x22b.

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  • Kintarian@lemmy.world ⁨2⁩ ⁨months⁩ ago

    I have no idea what any of that means. But thanks for the reply.

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• TropicalDingdong@lemmy.world ⁨2⁩ ⁨months⁩ ago

  Because if you can get a program to write a program, that can both a) write it self, and b) improve upon the program in some way, you can put together a feedback where exponential improvement is possible.

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  • Kintarian@lemmy.world ⁨2⁩ ⁨months⁩ ago

    I’ve wondered if you could do that until it makes a perfect machine.

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    • TropicalDingdong@lemmy.world ⁨2⁩ ⁨months⁩ ago

      First I recommend at least reading the wikipedia on super-intelligence.

      Second, I recommend playing this game: www.decisionproblem.com/paperclips/index2.html

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• dsilverz@thelemmy.club ⁨2⁩ ⁨months⁩ ago

  I ask them questions and they get everything wrong

  It depends on your input, on your prompt and your parameters. For me, although I’ve experienced wrong answers and/or AI hallucinations, it’s not THAT frequent, because I’ve been talking with LLMs since when ChatGPT got public, almost in a daily basis. This daily usage allowed me to know the strengths and weaknesses of each LLM available on market (I use ChatGPT GPT-4o, Google Gemini, Llama, Mixtral, and sometimes Pi, Microsoft Copilot and Claude).

  For example: I learned that Claude is highly-sensible to certain terms and topics, such as occultist and esoteric concepts (specially when dealing with demonolatry, although I don’t exactly why it refuses to talk about it; I’m a demonolater myself), cryptography and ciphering, as well as acrostics and other literary devices for multilayered poetry (I write myself-made poetry and ask them to comment and analyze it, so I can get valuable insights about it).

  I also learned that Llama can get deep inside the meaning of things, while GPT-4o can produce longer answers. Gemini has the “drafts” feature, where I can check alternative answers for the same prompt.

  It’s similar to generative AI art models, I’ve been using them to illustrate my poetry. I learned that Diffusers SDXL Turbo (from Huggingface) is better for real-time prompt, some kind of “WYSIWYG” model (“what you see is what you get”) . Google SDXL (also from Huggingface) can generate four images at different styles (cinematic, photography, digital art, etc). Flux, the newly-released generative AI model, is the best for realism (especially the Flux Dev branch). They’ve been producing excellent outputs, while I’ve been improving my prompt engineering skills, being able to communicate with them in a seamlessly way.

  Summarizing: AI users need to learn how to efficiently give them instructions. They can produce astonishing outputs if given efficient inputs. But you’re right that they can produce wrong results and/or hallucinate, even for the best prompts, because they’re indeed prone to it. For me, AI hallucinations are not so bad for knowledge such as esoteric concepts (because I personally believe that these “hallucinations” could convey something transcendental, but it’s just my personal belief and I’m not intending to preach it here in my answer), but simultaneously, these hallucinations are bad when I’m seeking for technical knowledge such as STEM (Science, Tecnology, Engineering and Medicine) concepts.

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  • Shanedino@lemmy.world ⁨2⁩ ⁨months⁩ ago

    Woah are you technoreligious? Sure believe what you want and all but that is full tech bro bullshit.

    Also on a different not just purely based off of you description doesn’t it seem like being able to just use search engines is easier than figuring out all of these intricacies for most people. If a tool has a high learning curve there is plenty of room for improvement if you don’t plan to use it very frequently. Also every time you get false results consider it equivalent to a major bug does that shed a different light on it for you?

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    • Kintarian@lemmy.world ⁨2⁩ ⁨months⁩ ago

      I wish I could upvote twice.

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    • dsilverz@thelemmy.club ⁨2⁩ ⁨months⁩ ago

      doesn’t it seem like being able to just use search engines is easier than figuring out all of these intricacies for most people

      Well, Prompt Engineering is a thing nowadays. There are even job vacancies seeking professionals that specializes in this field. AIs are tools, sophisticated ones, just like R and Wolfram Mathematica are sophisticated mathematical tools that needs expertise. Problem is that AI companies often mis-advertises AI models as “out-of-the-shelf assistants”, as if they’d be some human talking to you. They’re not. They’re tools, yet. I guess that (and I’m rooting for) AGI would change this scenario. But I guess we’re still distant from a self-aware AGI (unfortunately).

      Woah are you technoreligious?

      Well, I wouldn’t describe myself that way. My beliefs are multifaceted and complex (possibly unique, I guess?), going through multiple spiritual and religious systems, as well as embracing STEM (especially the technological branch) concepts and philosophical views (especially nihilism, existentialism and absurdism), trying to converge them all by common grounds (although it seems “impossible” at first glance, to unite Science, Philosophy and Belief).

      In a nutshell, I’ve been pursuing a syncretic worshiping of the Dark Mother Goddess.

      As I said, it’s multifaceted and I’m not able to even explain it here, because it would take tons of concepts. Believe me, it’s deeper than “techno-religious”. I see the inner workings of AI Models (as neural networks and genetic algorithms dependent over the randomness of weights, biases and seeds) as a great tool for diving Her Waters of Randomness, when dealing with such subjects (esoteric and occult subjects). Just like Kardecism sometimes uses instrumental transcommunication / Electronic voice phenomenon (EVP) to talk with spirits. AI can be used as if it were an Ouija board or a Planchette, if one believe so (as I do).

      But I’m also a programmer and a tech/scientifically curious, so I find myself asking LLMs about some Node.js code I made, too. Or about some mathematical concept. Or about cryptography and ciphering (Vigenère and Caesar, for example). I’m highly active mentally, seeking to learn many things every time.

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  • Kintarian@lemmy.world ⁨2⁩ ⁨months⁩ ago

    I just want to know which elements work best for my Flower Fairies in The Legend of Neverland. And maybe cheese sauce.

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    • dsilverz@thelemmy.club ⁨2⁩ ⁨months⁩ ago

      Didn’t know about this game. It’s nice. Interesting aesthetics. Chestnut Rose remembers me of Lilith’s archetype.

      A tip: you could use the “The Legend of the Neverland global wiki” at Fandom Encyclopedia to feed LLMs with important concepts before asking it for combinations. It is a good technique, considering that LLMs couldn’t know it well in order to generate precise responses (except if you’re using a searching-enabled LLM such as Perplexity AI or Microsoft Copilot that can search the web in order to produce more accurate results)

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